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A knowledge discovery in databases approach for industrial microgrid planning

Carlos Gamarra, Josep M. Guerrero and Eduardo Montero

Renewable and Sustainable Energy Reviews, 2016, vol. 60, issue C, 615-630

Abstract: The progressive application of Information and Communication Technologies to industrial processes has increased the amount of data gathered by manufacturing companies during last decades. Nowadays some standardized management systems, such as ISO 50.001 and ISO 14.001, exploit these data in order to minimize the environmental impact of manufacturing processes. At the same time, microgrid architectures are progressively being developed, proving to be suitable for supplying energy to continuous and intensive consumptions, such as manufacturing processes.

Keywords: Microgrid planning; Knowledge discovery in databases; Energy Management Systems; Data Mining; Machine Learning; Sustainability (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1016/j.rser.2016.01.091

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